El Nino Diversity Across Boreal Spring Predictability Barrier

被引:13
|
作者
Wang, Bin [1 ,2 ,3 ,4 ]
Luo, Xiao [1 ,2 ]
Sun, Weiyi [5 ,6 ,7 ]
Yang, Young-Min [3 ,4 ]
Liu, Jian [5 ,6 ,7 ]
机构
[1] Univ Hawaii, Dept Atmospher Sci, Honolulu, HI 96822 USA
[2] Univ Hawaii, Int Pacific Res Ctr, Sch Ocean Earth Sci & Technol, Honolulu, HI 96822 USA
[3] Nanjing Univ Informat Sci & Technol, Key Lab Meteorol Disaster, Minist Educ, Nanjing, Peoples R China
[4] Nanjing Univ Informat Sci & Technol, Earth Syst Modeling Ctr, Nanjing, Peoples R China
[5] Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing, Peoples R China
[6] Nanjing Normal Univ, State Key Lab Cultivat Base Geog Environm Evolut, Nanjing, Peoples R China
[7] Nanjing Normal Univ, Sch GeographySci, Nanjing, Peoples R China
基金
美国国家科学基金会; 中国国家自然科学基金;
关键词
El Nino diversity; El Nino transition; k-means cluster analysis; El Nino precursors; El Nino impact; spring predictability barrier; PRECIPITATION-ENSO RELATIONSHIP; SEA-SURFACE TEMPERATURE; PACIFIC; MODEL; PERFORMANCE; REANALYSIS; ROBUST; OCEAN;
D O I
10.1029/2020GL087354
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
El Nino exerts widespread hydroclimate impacts during boreal summer. However, the current prediction of El Nino across boreal spring has the most severe forecast errors, partially due to the lack of understanding diversified El Nino onset and decay. Here we show, through nonlineark-means cluster analysis of evolutions of 40 El Nino events since 1870, El Nino exhibits complex and diverse flavors in its onset and decay across boreal spring predictability barrier. We detected three types of El Nino onset and three types of decay. Each type exhibits distinct coupled dynamics, precursors, and hydroclimate impacts. The results guide the prediction of different types of El Nino transition amid spring predictability barrier and global land precipitation during early and late boreal summer. The new classification offers a metric to evaluate performances of climate models and to project future change of El Nino properties and its predictability.
引用
收藏
页数:11
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